Dataset Versions

v4

2021-12-12 6:22pm

Generated on Dec 12, 2021

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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Dataset Split

Train Set 85%
342Images
Valid Set 10%
40Images
Test Set 5%
20Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 416x416
Grayscale: Applied
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Vertical
Grayscale: Apply to 25% of images
Hue: Between -51° and +51°
Blur: Up to 10px
Noise: Up to 9% of pixels
Bounding Box: Blur: Up to 10px

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